A Discourse Model of Affect for Text-to-Speech Synthesis
| dc.contributor.author | Schlunz, Georg I. | |
| dc.contributor.author | Barnard, Etienne | |
| dc.date.accessioned | 2018-03-05T12:41:07Z | |
| dc.date.available | 2018-03-05T12:41:07Z | |
| dc.date.issued | 2013 | |
| dc.description.abstract | This paper introduces a model of affect to improve prosody in text-to-speech synthesis. It operates on the discourse level of text to predict the underlying linguistic factors that contribute towards emotional appraisal, rather than any particular surface emotion itself. The architecture of the model is described and its performance is evaluated on three levels—its predictive accuracy on text, its effect on natural speech and its effect on synthesised speech. | en_US |
| dc.description.sponsorship | Human Language Technology Research Group, CSIR Meraka Institute, Pretoria, South Africa Multilingual Speech Technologies Group, North-West University, Vanderbijlpark, South Africa | en_US |
| dc.identifier.citation | Georg Schlunz and Etienne Barnard, “A Discourse Model of Affect for Text-to-Speech Synthesis”, in Proc. Annual Symp. Pattern Recognition Association of South Africa (PRASA), pp 91-98, Johannesburg, South Africa, 2013. [http://engineering.nwu.ac.za/multilingual-speech-technologies-must/publications] | en_US |
| dc.identifier.uri | https://researchspace.csir.co.za/dspace/bitstream/handle/10204/7272/Schlunz_2013.pdf?sequence=1 | |
| dc.identifier.uri | http://hdl.handle.net/10394/26511 | |
| dc.language.iso | en | en_US |
| dc.publisher | Pattern Recognition Association of South Africa and Mechatronics International Conference | en_US |
| dc.subject | Discourse Model | en_US |
| dc.subject | Text-to-Speech Synthesis | en_US |
| dc.title | A Discourse Model of Affect for Text-to-Speech Synthesis | en_US |
| dc.type | Presentation | en_US |
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